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All Journal Blantika : Multidisciplinary Journal Insight : International Journal of social research
Agustina, Depi
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Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health

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Generative Artificial Intelligence and Public Communication Ethics in Students’ Academic Writing Practices Agustina, Depi; Rismanto, Malik; Surya, Radin
Blantika: Multidisciplinary Journal Vol. 3 No. 12 (2025): Blantika: Multidisciplinary Journal
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/blantika.v3i12.495

Abstract

The rapid development of generative Artificial Intelligence (AI) has significantly influenced academic practices, particularly in students’ academic writing. This study aims to examine the ethical use of generative AI in students’ academic writing practices in public communication contexts. The research employs a qualitative approach to explore how students utilize AI technologies and how ethical considerations shape their writing behavior. Data were collected through in-depth interviews with 10 key informants and questionnaires distributed to 30 respondents, complemented by direct observations of students who actively use AI tools in their academic writing. The findings reveal that students widely use generative AI to support various stages of the writing process, including idea generation, outlining, language improvement, and content organization. Students perceive AI as a helpful tool that enhances efficiency and productivity in completing academic assignments. However, the study also identifies several ethical concerns, such as the potential overreliance on AI, risks to academic integrity, and the possibility of reduced critical thinking if AI is used without responsible awareness. Furthermore, the results highlight that students with stronger digital literacy and understanding of academic ethics tend to use AI more responsibly, treating it as a supporting tool rather than a replacement for intellectual work. The study emphasizes the importance of establishing ethical guidelines and improving digital literacy in higher education institutions. These efforts are essential to ensure that AI technologies support academic communication while maintaining transparency, originality, and academic integrity in scholarly writing.
Big Data Analytics for Predicting Customer Behavior in Digital Marketplaces Brahma Fahrezi, Rendi; Marlina, Nina; Haryati, Haryati; Agustina, Depi; Adji, Aad
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

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Abstract

The rapid growth of digital commerce has generated vast amounts of data from customer interactions within online marketplace platforms. This study aims to analyze the role of Big Data Analytics in predicting customer behavior in digital marketplaces. The research employs a qualitative research approach with a descriptive design to explore how data-driven strategies are used to understand consumer behavior and support business decision-making. Data were collected through in-depth interviews with digital marketing managers and data analysts, questionnaires distributed to licensed employees working in digital marketing and analytics roles, as well as observational analysis of customer interaction patterns on digital marketplace platforms. The results indicate that big data analytics plays a crucial role in identifying customer preferences, predicting purchasing patterns, and improving marketing effectiveness. Predictive models based on transaction history, browsing behavior, and customer reviews enable companies to develop personalized recommendation systems and targeted promotional strategies. These analytical capabilities significantly enhance customer engagement and increase sales performance in digital marketplaces. Furthermore, the findings highlight that organizations implementing advanced data analytics technologies gain competitive advantages through improved customer insights and more efficient marketing strategies. Despite several limitations related to sample size and qualitative data interpretation, this study provides valuable insights into the strategic importance of big data analytics for understanding consumer behavior in digital commerce ecosystems. The study also offers practical implications for businesses seeking to implement data-driven decision-making in the rapidly evolving digital economy.
Co-Authors Adji, Aad Brahma Fahrezi, Rendi Haryati Haryati Marlina, Nina Rismanto, Malik Surya, Radin